Spark Summit East 2017: February 7-9 (Boston, MA)

Spark Summit East 2017

Watch theCUBE at Spark Summit East 2017 LIVE

“Apache Spark™ is a powerful open source processing engine built around speed, ease of use, and sophisticated analytics. It was started at UC Berkeley in 2009 and is now developed at the vendor-independent Apache Software Foundation. Since its release, Spark has seen rapid adoption by enterprises across a wide range of industries. Internet powerhouses such as Yahoo, eBay and Netflix have deployed Spark at massive scale, processing multiple petabytes of data on clusters of over 8,000 nodes. Apache Spark has also become the largest open source community in big data, with over 1000 contributors from 250+ organizations.”

Guests Interviewed on theCUBE:

Aaron Colcor – Director of Engineering, FIS Global

Spark helps transform legacy banking systems into data powerhouses
As the awareness and presence of data continues rising across all sorts of businesses, banks are finding more in their vaults than physical currency. But for many organizations, bringing their systems up to speed for processing the vast quantities of transaction and interaction data at their disposal is forming a hurdle too high to overcome on their own. Read the full blog post with highlights from his interview at SiliconANGLE.com.

This was Aaron’s first time visiting theCUBE!

Joel Cumming – Head of Data, Kik Interactive, Inc.

Igniting chat app capabilities with Spark
Texting is so 2009. By 2010 all the cool kids switched to using the mobile chat app Kik to communicate with each other through their smartphones. The Waterloo, Ontario startup hit the market at a time when mobile companies were charging for text messages. Read the full blog post with highlights from his interview at SiliconANGLE.com.

This was Joel’s first time visiting theCUBE!

Seth Dobrin – VP and Chief Data Officer, IBM Analytics

The strategies every CDO should know for hybrid cloud
When you scratch the surface, almost every company today is a data company, no matter what product or service they are selling. As a nod to this new reality, companies are adding the role of Chief Data Officer to their executive suite, raising their data strategy on the same level as their financial planning. Read the full blog post with highlights from his interview at SiliconANGLE.com.

Bryan Duxbury – VP of Engineering, StreamSets

Data on the move: getting the most value out of the numbers
While most organizations understand the inherent value of big data — the more data, the better — there can be issues around managing and moving that data. The true value comes from the analysis of the data, not from static data itself. Many are leaning on Apache Spark (an open-source cluster computing framework) to reduce data management complexity, according to Bryan Duxbury, vice president of engineering at StreamSets Inc. Read the full blog post with highlights from his interview at SiliconANGLE.com.

Can a data-powered mobile app take the pain out of cramming for exams?
Fascinating new data use-case alert: Students’ study data can now be used to make them smarter, help them remember more and get better grades. Read the full blog post with highlights from his interview at SiliconANGLE.com.

This was Alfred’s first time visiting theCUBE!

David Favela – Head of Data and Analytics, FIS Global

Spark helps transform legacy banking systems into data powerhouses
As the awareness and presence of data continues rising across all sorts of businesses, banks are finding more in their vaults than physical currency. But for many organizations, bringing their systems up to speed for processing the vast quantities of transaction and interaction data at their disposal is forming a hurdle too high to overcome on their own. Read the full blog post with highlights from their interview at SiliconANGLE.com.

This was David’s first time visiting theCUBE!

Mike Gualtieri – Lead Big Data Analyst, Forrester Research

‘Don’t let your hopes get too high’ when it comes to AI, says analyst
Modern technology is evolving at what seems to be a natural progression. Initially, hype centered around big data and how to manage it. Now that the industry has its arms around collecting and storing vast amounts of data, the focus has shifted to advanced analytics that bring value to the enterprise, according to Mike Gualtieri (pictured), vice president and principal analyst at Forrester Research. Read the full blog post with highlights from his interview at SiliconANGLE.com.

Manish Gupta – CMO, Redis Labs

Data processing simplification: ‘Real-time’ is not just a moniker anymore
As data processing at the edge of the network gets pushed higher in priority by the rise of the Internet of Things, improved data computation and transfer speed are becoming essential operations, according to Manish Gupta, chief marketing officer of Redis Labs Inc. Read the full blog post with highlights from his interview at SiliconANGLE.com.

How HP is leveraging Spark for software development
There are two absolutes in the tech world today. One, businesses must go to the cloud. Two, data is the lifeblood of a company. Adapting to this new reality requires a whole new style of infrastructure, and a wise choice in strategic partners, according to John Landry (pictured), distinguished technologist for personal systems data science at HP Development Co. LP. Read the full blog post with highlights from his interview at SiliconANGLE.com.

This was John’s first time visiting theCUBE!

Ziya Ma – VP of Big Data, Intel

Intel’s BigDL aims to bring deep learning to the masses
With Intel Corp.’s efforts to get involved in practically every aspect of modern technology, from the hardware base up through the software that’s run on it, the natural move to stay competitive these days is to expand into deep learning and big data. Yet as Intel has found, the need for converging systems becomes increasingly clear every day, according to Ziya Ma, vice president of big data at Intel. Read the full blog post with highlights from her interview at SiliconANGLE.com.

This was Ziya’s first time visiting theCUBE!

Arun Murthy – Founder & VP Engineering, Hortonworks

Securing and governing data in the wide world of cloud
As the cloud matures, there are many organizations working to make it a more secure and well-governed technology. An active player in these efforts is Hortonworks Inc., known primarily for its development and support of the open-source data management platform, Apache Hadoop. Read the full blog post with highlights from his interview at SiliconANGLE.com.

Nick Pentreath – Principal Engineer, IBM Spark Technology Center

How IBM handles complexities in Apache Spark for enterprise adoption
IBM Corp. opened its Spark Technology Center a little over a year ago in downtown San Francisco to collaborate with the open-source community while sharing the company’s real-world experiences using Spark. With a mission to focus on the open-source world of Apache Spark, STC pushes the community to make forward progress and contribute to the core project and the ecosystem. Read the full blog post with highlights from his interview at SiliconANGLE.com.

This was Nick’s first time visiting theCUBE!

Bill Peterson – Head of Partner Marketing, MapR

Technical questions from customers
Bill Peterson shares what MapR is, how customers are using it with different technologies and ways they are continuing to innovate. Watch his interview to learn how MapR is different from HortonWorks and other solutions.

The challenges of securing data on the move
Securing data at rest is already a challenge. So what about data on the move? Without such protections, events like this Steam security flaw can happen to any business. Read the full blog post with highlights from his interview at SiliconANGLE.com.

Turning Watson into a data business, from machine learning to analytics
When IBM Corp. acquired The Weather Company’s B2B, mobile and cloud-based web-properties in January 2016, the goal was to combine forces to lay the groundwork for IBM’s Watson IoT Platform. One year later, Robbie Stickland, vice president of engines and pipelines, Watson Data Platform, at IBM Analytics, is finalizing the merger of technologies from both companies to create a best-in-class analytics platform. Read the full blog post with highlights from his interview at SiliconANGLE.com.